The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective
Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …
It is believed that image-based navigation will increase the access to reproducible, safe, and …
Intraoperative 2d/3d image registration via differentiable x-ray rendering
V Gopalakrishnan, N Dey… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Surgical decisions are informed by aligning rapid portable 2D intraoperative images (eg X-
rays) to a high-fidelity 3D preoperative reference scan (eg CT). However 2D/3D registration …
rays) to a high-fidelity 3D preoperative reference scan (eg CT). However 2D/3D registration …
X-ray to DRR images translation for efficient multiple objects similarity measures in deformable model 3D/2D registration
B Aubert, T Cresson, JA de Guise… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on
planar X-ray image (s) is related to the quality of the image correspondences between the …
planar X-ray image (s) is related to the quality of the image correspondences between the …
Robust 3D–2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation
We present a framework for robustly estimating registration between a 3D volume image
and a 2D projection image and evaluate its precision and robustness in spine interventions …
and a 2D projection image and evaluate its precision and robustness in spine interventions …
Classification and visualisation of normal and abnormal radiographs; a comparison between eleven convolutional neural network architectures
This paper investigates the classification of radiographic images with eleven convolutional
neural network (CNN) architectures (GoogleNet, VGG-19, AlexNet, SqueezeNet, ResNet-18 …
neural network (CNN) architectures (GoogleNet, VGG-19, AlexNet, SqueezeNet, ResNet-18 …
Evaluation of a quantitative method for carpal motion analysis using clinical 3-D and 4-D CT protocols
JGG Dobbe, MGA de Roo, JC Visschers… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
For wrist complaints related to motion, a 2-D radiograph or CT scan of the static wrist may
not always be considered diagnostic. 3-D motion imaging, ie, multiple 3DCT scans in time …
not always be considered diagnostic. 3-D motion imaging, ie, multiple 3DCT scans in time …
Pose estimation of periacetabular osteotomy fragments with intraoperative X-ray navigation
Objective: State-of-the-art navigation systems for pelvic osteotomies use optical systems with
external fiducials. In this paper, we propose the use of X-ray navigation for pose estimation …
external fiducials. In this paper, we propose the use of X-ray navigation for pose estimation …
Automatic Segmentation of Wrist Bones in CT Using a Statistical Wrist Shape Pose Model
Segmentation of the wrist bones in CT images has been frequently used in different clinical
applications including arthritis evaluation, bone age assessment and image-guided …
applications including arthritis evaluation, bone age assessment and image-guided …
An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field
Objective: Image segmentation is a crucial and fundamental step in many medical image
analysis tasks, such as tumor measurement, surgery planning, disease diagnosis, etc. To …
analysis tasks, such as tumor measurement, surgery planning, disease diagnosis, etc. To …
Anatomically parameterized statistical shape model: explaining morphometry through statistical learning
Objective: Statistical shape models (SSMs) are a popular tool to conduct morphological
analysis of anatomical structures which is a crucial step in clinical practices. However, shape …
analysis of anatomical structures which is a crucial step in clinical practices. However, shape …